Deep Learning with R for Beginners

Table of Contents

Getting Started with Deep Learning
Training a Prediction Model
Deep Learning Fundamentals
Training Deep Prediction Models
Image Classification Using Convolutional Neural Networks
Tuning and Optimizing Models
Natural Language Processing Using Deep Learning
Deep Learning Models Using TensorFlow in R
Anomaly Detection and Recommendation Systems
Running Deep Learning Models in the Cloud
The Next Level in Deep Learning
Handwritten Digit Recognition Using Convolutional Neural Networks
Traffic Sign Recognition for Intelligent Vehicles
Fraud Detection with Autoencoders
Text Generation Using Recurrent Neural Networks
Sentiment Analysis with Word Embeddings

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• Inteligência artificial
• Design e teoria de Dases de Dados
• As redes neurais e sistemas nebulosos
• A arquitetura da informação

Deep Learning;machine learning;Computer Vision;R;Keras;MXNet;Tensorflow;Generative Adversarial Networks;Transfer Learning;optimize;overfitting